siRNA Design Online Training

Introduction to the Course

This internship is a practical, beginner-friendly deep dive into the world of RNA-based therapeutics—with a clear focus on two skills that matter in real research and industry workflows: siRNA (small interfering RNA) design and RNA secondary structure prediction.
You’ll learn how RNA interference (RNAi) actually silences genes, how to design siRNA sequences that work effectively (and safely), and how computational tools help predict RNA folding, thermodynamics, and stability. Instead of learning only concepts, you’ll practice designing siRNAs for real genes and validating your designs through structure and stability checks—ending with a report you can showcase as proof of skill.

Course Objectives

• Understand the principles of RNA interference (RNAi) and siRNA-mediated gene silencing.
• Learn to design effective siRNA sequences against target genes using practical design rules.
• Predict RNA secondary structures and interpret folding patterns using standard computational tools.
• Analyze RNA thermodynamic stability, free energy, and hairpin/stem-loop formations.
• Use online and open-source tools for RNA simulation, visualization, and structure comparison.

What Will You Learn (Modules)

Module 1: Introduction to RNAi and siRNA

• Mechanism of RNA interference: how gene silencing works step-by-step.
• Understanding the difference between siRNA vs miRNA vs shRNA (and when each is used).
• Applications in therapeutics, functional genomics, and gene regulation.

Module 2: Guidelines for siRNA Design

• siRNA structure basics and functional design rules that influence silencing efficiency.
• GC content, sequence constraints, and how off-target effects happen (and how to reduce them).
• Target site selection in mRNA: choosing regions that are accessible and meaningful.

Module 3: siRNA Design Tools (Hands-on)

• Tool walkthroughs: siDirect, BLOCK-iT, DSIR, Whitehead siRNA Selection.
• Hands-on practice: design siRNAs for real target genes (e.g., BCL2, EGFR).
• Learn how to compare multiple candidates and decide which siRNA is worth testing first.

Module 4: Advanced Filtering for siRNA

• Thermodynamics, target accessibility, and specificity scoring to improve design quality.
• Identifying and avoiding common immune response triggers and problematic motifs.
• How to build a shortlisting strategy that looks like real research workflows.

Module 5: Introduction to RNA Secondary Structures

• RNA folding essentials: base pairing, stem-loops, hairpins, and structural motifs.
• Understanding structure file formats: dot-bracket and CT files.
• Why structure matters for silencing efficiency and stability.

Module 6: RNA Structure Prediction Tools (Hands-on)

• Tools you’ll use: RNAfold (ViennaRNA), Mfold, RNAstructure.
• Hands-on practice: predict folding patterns and visualize base-pair probabilities.
• Learn how to compare structures across sequences and interpret what changes mean.

Module 7: Thermodynamic Analysis

• Interpreting free energy (ΔG): what “stable” actually means in RNA folding.
• Generating structure ensembles and understanding structural variability.
• Pseudoknot prediction (concept) and what it means for real RNA behavior.

Final Project

For the capstone, you’ll complete a mini research-style workflow—designing and evaluating siRNAs for real targets and validating designs using structural prediction and stability analysis.

Deliverables include: siRNA sequences (for at least 2 genes), RNA secondary structure visuals, thermodynamic interpretation, and a final evaluation report.

Who Should Take This Course?

This internship is perfect for:

• Graduate & Postgraduate Students: Bioinformatics, Molecular Biology, Biotechnology, or related life-science fields.
• PhD Students & Researchers: Working in Genetic Engineering, RNA Therapeutics, or functional genomics.
• Professionals: In Bioinformatics and Computational RNA Biology interested in gene silencing workflows.
• Life Science Learners: Who want to build future-ready skills in RNA-based therapeutics.

Job Opportunities

After completing this internship, you’ll be prepared for roles and research tracks such as:

• RNA Therapeutics Research Intern/Associate: Supporting gene silencing and RNA-based therapeutic projects.
• Bioinformatics / Computational Biology Trainee: Working on RNA analysis, sequence design, and structural modeling.
• Genetic Engineering Project Assistant: Supporting knockdown studies and target validation pipelines.
• Computational RNA Biology Intern: Using tools to model RNA folding, stability, and structure–function links.

Why Learn With Nanoschool?

At Nanoschool, we make advanced biotech skills feel clear, structured, and doable—even if you’re new.

• Hands-on Learning: You’ll actually design siRNAs and analyze RNA structures, not just study definitions.
• Tool-Based Training: Learn the platforms researchers use for real RNA design and prediction tasks.
• Project Output: You’ll finish with a report and visuals you can add to your portfolio or academic profile.
• Research-Ready Approach: Learn how to explain your results like a scientist—with logic, clarity, and limitations.

Key outcomes of the course

• Explain RNAi clearly and understand how siRNA achieves gene silencing.
• Design effective siRNA candidates using practical rules and established tools.
• Predict and compare RNA secondary structures using standard prediction engines.
• Interpret thermodynamic stability (ΔG), hairpin formations, and folding patterns.
• Create a capstone report with sequences, structure visuals, and design evaluation.

FAQs

• What is siRNA and why is it important?
  siRNA (small interfering RNA) is a short RNA molecule that can silence a target gene by guiding the RNAi machinery—making it powerful for research and RNA-based therapeutics.
• Will I actually design siRNA sequences?
  Yes. You will design siRNA sequences for real genes and learn how to shortlist the best candidates using tool outputs and design rules.
• What will I learn in RNA secondary structure prediction?
  You’ll learn how RNA folds into stem-loops and hairpins, how to predict folding patterns, and how to interpret stability using ΔG and probability plots.
• What tools will be used?
  You’ll use common tools such as siDirect, BLOCK-iT, DSIR, and structure tools like RNAfold (ViennaRNA), Mfold, and RNAstructure.
• What do I submit for the final project?
  You’ll submit siRNA sequences for at least two genes, RNA structure visuals, stability analysis, and a final design evaluation report.